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                  <text>Dominio científico: Coronavirus</text>
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                <text>Big Data Analysis of Korean Travelers’ Behavior in the Post-COVID-19 Era</text>
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                <text>Yun-A Sung, Kyung-Won Kim, Hee-Ju Kwon</text>
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                <text>: Due to the spread of COVID-19 worldwide in 2020, the tourism industry is facing a calamitous crisis as migration and travel between the countries has been restricted. The purpose of this study is to explore changes in Korean tourism behavior after COVID-19. Korean social media data was collected from the World Health Organization’s declaration of a public health emergency of international concern, in January 2020, to August 2020, the summer vacation season. Keywords were extracted via text mining, and the current perspectives of Koreans concerning tourism that manifest content analysis were investigated. In addition, UCINET 6 was used to visualize related words by conducting centrality analysis, CONCOR (CONvergent CORrelation) analysis, and semantic system network analysis. The analysis showed that Korean tourists have increased their preference for domestic travel, and showed interest in government subsidies. Korean tourists also showed greater interest in eco-trips and gourmet trips. Although this study is limited to Korea, it can be used as a regional strategy.</text>
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                <text>2021</text>
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                <text>covid-19, domestic tourism, subsidy, semantic network analysis, solo travel, group tour</text>
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                <text>10.3390/su13010310</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sustainable Food Supply Chains: Is Shortening the Answer? A Literature Review for a Research and Innovation Agenda</text>
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                <text>Yuna Chiffoleau, Tara Dourian</text>
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                <text>Short food supply chains (SFSCs) are increasingly garnering attention in food systems research, owing to their rising popularity among consumers, producers and policy-makers in the last few decades. Written with the aim to identify research gaps for the Horizon Europe research and innovation programme, this literature review provides a state of play of the definition and characterisation of SFSCs, and of their sustainability. Drawing on hypotheses about SFSC sustainability elaborated in an expert network in France, this review summarises a wide range of papers from various disciplines in the SFSC literature, written in English or French, while specifically highlighting the empirical results derived from European projects. Though the literature tends to generally agree on the social benefits of SFSCs, their economic and environmental impacts typically elicit more heterogeneous outcomes, while their health/nutrition and governance dimensions remain under-explored. Based on this review, recommendations for a future research and innovation programme are outlined, addressing the contribution of SFSCs to agrifood system transition and resilience in the current context of the Covid-19 crisis and of the Green New Deal objectives.</text>
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                <text>literature review, sustainability, local food systems, new indicators of wealth, s hort  food  supply  chain</text>
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                <text>10.3390/su12239831</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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                <text>SARS pandemic exposure impaired early childhood development in China</text>
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                <text>Yunfei Fan, Huiyu Wang, Qiong Wu, Xiang Zhou, Yubo Zhou, Bin Wang, Yiqun Han, Tao Xue, Tong Zhu</text>
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                <text>Abstract Social and mental stressors associated with the pandemic of a novel infectious disease, e.g., COVID-19 or SARS may promote long-term effects on child development. However, reports aimed at identifying the relationship between pandemics and child health are limited. A retrospective study was conducted to associate the SARS pandemic in 2003 with development milestones or physical examinations among longitudinal measurements of 14,647 children. Experiencing SARS during childhood was associated with delayed milestones, with hazard ratios of 3.17 (95% confidence intervals CI: 2.71, 3.70), 3.98 (3.50, 4.53), 4.96 (4.48, 5.49), or 5.57 (5.00, 6.20) for walking independently, saying a complete sentence, counting 0–10, and undressing him/herself for urination, respectively. These results suggest relevant impacts from COVID-19 on child development should be investigated.</text>
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                <text>10.1038/s41598-021-87875-8</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>DOI: 10.1183/23120541.00015-2015</text>
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                <text>ERJ Open Research</text>
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                <text>A Review of SARS-CoV-2 and the Ongoing Clinical Trials</text>
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                <text>Yung-Fang Tu, Chian-Shiu Chien, Aliaksandr A Yarmishyn, Yi-Ying Lin, Yung-Hung Luo, Yi-Tsung Lin, Wei-Yi Lai, Deming Yang, Shih-Jie Chou, Yiping Yang, Mong-Lien Wang, Shih-Hwa Chiou</text>
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                <text>The sudden outbreak of 2019 novel coronavirus (2019-nCoV, later named SARS-CoV-2) in Wuhan, China, which rapidly grew into a global pandemic, marked the third introduction of a virulent coronavirus into the human society, affecting not only the healthcare system, but also the global economy. Although our understanding of coronaviruses has undergone a huge leap after two precedents, the effective approaches to treatment and epidemiological control are still lacking. In this article, we present a succinct overview of the epidemiology, clinical features, and molecular characteristics of SARS-CoV-2. We summarize the current epidemiological and clinical data from the initial Wuhan studies, and emphasize several features of SARS-CoV-2, which differentiate it from SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), such as high variability of disease presentation. We systematize the current clinical trials that have been rapidly initiated after the outbreak of COVID-19 pandemic. Whereas the trials on SARS-CoV-2 genome-based specific vaccines and therapeutic antibodies are currently being tested, this solution is more long-term, as they require thorough testing of their safety. On the other hand, the repurposing of the existing therapeutic agents previously designed for other virus infections and pathologies happens to be the only practical approach as a rapid response measure to the emergent pandemic, as most of these agents have already been tested for their safety. These agents can be divided into two broad categories, those that can directly target the virus replication cycle, and those based on immunotherapy approaches either aimed to boost innate antiviral immune responses or alleviate damage induced by dysregulated inflammatory responses. The initial clinical studies revealed the promising therapeutic potential of several of such drugs, including favipiravir, a broad-spectrum antiviral drug that interferes with the viral replication, and hydroxychloroquine, the repurposed antimalarial drug that interferes with the virus endosomal entry pathway. We speculate that the current pandemic emergency will be a trigger for more systematic drug repurposing design approaches based on big data analysis.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>SARS-CoV-2, COVID-19, Pneumonia, Clinical trials, immunotherapy, vaccine</text>
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                <text>DOI: 10.3390/ijms21072657</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="15937">
                <text>International Journal of Molecular Sciences</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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                <text>Biology (General), Chemistry</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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              <elementText elementTextId="52595">
                <text>Deep drug-target binding affinity prediction with multiple attention blocks.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="52596">
                <text>Yuni Zeng, Xiangru Chen, Yujie Luo, Xuedong Li, Dezhong Peng</text>
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            <description>An account of the resource</description>
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                <text>Drug-target interaction (DTI) prediction has drawn increasing interest due to its substantial position in the drug discovery process. Many studies have introduced computational models to treat DTI prediction as a regression task, which directly predict the binding affinity of drug-target pairs. However, existing studies (i) ignore the essential correlations between atoms when encoding drug compounds and (ii) model the interaction of drug-target pairs simply by concatenation. Based on those observations, in this study, we propose an end-to-end model with multiple attention blocks to predict the binding affinity scores of drug-target pairs. Our proposed model offers the abilities to (i) encode the correlations between atoms by a relation-aware self-attention block and (ii) model the interaction of drug representations and target representations by the multi-head attention block. Experimental results of DTI prediction on two benchmark datasets show our approach outperforms existing methods, which are benefit from the correlation information encoded by the relation-aware self-attention block and the interaction information extracted by the multi-head attention block. Moreover, we conduct the experiments on the effects of max relative position length and find out the best max relative position length value $k \in \{3, 5\}$. Furthermore, we apply our model to predict the binding affinity of Corona Virus Disease 2019 (COVID-19)-related genome sequences and $3137$ FDA-approved drugs.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="52598">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="52599">
                <text>covid-19, deep learning, drug-target interaction, self-attention</text>
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            </elementTextContainer>
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          <element elementId="43">
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="52600">
                <text>10.1093/bib/bbab117</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="52601">
                <text>Briefings in bioinformatics</text>
              </elementText>
            </elementTextContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68474">
                <text>Focus Group Discussions E-Learning based on Prior Knowledge and Problems in the Covid-19 Pandemic Period</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68475">
                <text>Yunia Mulyani Azis, Nurul Fatimah</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68476">
                <text>The Covid-19 pandemic forced many campuses around the world to close. In Indonesia, the closure of the campus began in mid-March 2020. The closure of the campus for a long time will harm students. To prevent this, the Indonesian government encourages campuses to hold online lectures or E-Learning. One of the campuses implementing E-Learning is STIE Ekuitas Bandung. The change from traditional lectures to E-Learning is not as easy as the theory. There are technological limitations, especially connections that cause students to have problems when forced to attend college in the form of video streaming. Besides, the economic recession caused by the pandemic is also another obstacle. On the other hand, most lecturers do not know how to give lectures effectively via the web, because they cannot get feedback from students. One solution we propose in this paper is to revive group discussions on school E-Learning sites. Using the student's Prior knowledge about E-Learning as a parameter, we conclude that the learning design provided in e-learning has to be slower compared to face-to-face learning with the aim that respondents have time to read, understand and finally understand with their efforts.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68477">
                <text>2020</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68478">
                <text>covid-19, e-learning, prior knowledge, group discussion</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="68479">
                <text>10.47577/tssj.v9i1.1033</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="68480">
                <text>Epidemiology and Health</text>
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          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="68481">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="68482">
                <text>Social sciences (General)</text>
              </elementText>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88121">
                  <text>Agricultura sostenible</text>
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              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
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      </elementSetContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="216738">
                <text>The Effect Value Orıentatıon, Ecologıcal Knowledge,  Ecologıcal Affect, Internal Locus of Controlon  Green Purchase Intentıon</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="216739">
                <text>Yunita Ramadhani Ratnaningsih DS</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="216740">
                <text>Environmental issue such as global warming become highlight issue in the world. Some environmental issue pointed out as the effect of consumer behavioural which ignored the effect of purchasing to the environmental conservation. For this time environmental issue becoming the important factor for consumer in considering product choosing, even in choosing diapers. This study aims to examine the influence of value orientations on ecological knowledge and ecological affect. This research also aims to investigate the influence of ecological knowledge on ecological affect, also to investigate the influence of ecological knowledge, ecological affect, internal locus of control on green purchase intention. Sampling method is nonprobability sampling with purposive sampling. Data were collected using a questionnaire survey. The  sample in this study consisted of 229 women aged over 17 years old and who have children aged 0 to 24 months in Yogyakarta. The study was based on confirmatory model. Structural equation modeling (SEM) by using AMOS  statistical  program  used  to  test  validity  and  reliability  of  the  instrument,  the goodness of fit model and the relationship hypothesized in the theoretical model proposed. Findings from structural models have proved nearly all the hypothesized relationships. This study reveals that value orientations has a positive effect on ecological knowledge but the effect of value orientations on ecological affect is not supported. Ecological knowledge has a positive effect on ecological affect. Ecological knowledge and internal locus of control has a positive effect on green purchase intention, but the effect of ecological affect on green purchase intentions is not supported.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="216741">
                <text>2017</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="216742">
                <text>ecological affect, ecological knowledge, green purchase intention, internal locus of control, value orientations</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="216743">
                <text>10.21776/ub.apmba.2017.005.03.5</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="216744">
                <text>APMBA (Asia Pacific Management and Business Application)</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="216745">
                <text>University of Brawijaya</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="216746">
                <text>Business</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="216747">
                <text>&lt;a href="http://apmba.ub.ac.id/index.php/apmba/article/view/238" target="_blank" rel="noreferrer noopener"&gt;http://apmba.ub.ac.id/index.php/apmba/article/view/238&lt;/a&gt;</text>
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  <item itemId="671" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/b9592ced497ba126e6f5c0b7ab5e7596.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6273">
                <text>Trypsin-independent porcine epidemic diarrhea virus US strain with altered virus entry mechanism</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6274">
                <text>Yunjeong Kim, Changin Oh, Vinay Shivanna, Richard A. Hesse, Kyeong-Ok Chang</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="6275">
                <text>Abstract Background Porcine Epidemic Diarrhea Virus (PEDV) is a coronavirus that infects the intestinal tract and causes diarrhea and vomiting in older pigs or extreme dehydration and death that could reach 100% mortality in neonatal piglets. In the US, the first PEDV outbreaks occurred in 2013 and since then US PEDV strains have quickly spread throughout the US and worldwide, causing significant economic and public health concerns. Currently two conditionally approved vaccines exist in the US, but there is no live attenuated vaccine, which is considered the best option in controlling PEDV by inducing transferrable mucosal immunity to susceptible neonatal piglets. In this study, we passaged an US PEDV isolate under various conditions to generate three strains and characterized their growth and antigenicity in cell culture using various assays including Western blot analysis, serum neutralization assay, sequencing analysis and confocal microscopy. Finally, these strains were evaluated for pathogenicity in nursing piglets (1–4 days old). Results One of the PEDV strains generated in this study (designated as PEDV 8aa) is able to replicate in cells without any protease and grows to a high titer of &gt;8 log10 TCID50/ml in cell culture. Interestingly, replication of PEDV 8aa was severely reduced by trypsin and this correlated with the inhibition of virus attachment and entry into the cells. In neonatal nursing piglets, PEDV 8aa (passage number 70 or 105) was found to be fully attenuated with limited virus shedding. Conclusions These results suggest that applying selective pressure during viral passages can facilitate attainment of viral attenuation and that PEDV 8aa warrants further investigation as an attenuated vaccine.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6276">
                <text>2017</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6277">
                <text>porcine epidemic diarrhea virus, coronavirus, Virus entry, attenuation, live attenuated vaccine, trypsin independent, entry</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="6278">
                <text>DOI: 10.1186/s12917-017-1283-1</text>
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            </elementTextContainer>
          </element>
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